Negotiable
Outside
Hybrid
USA
Summary: The Data Analyst role focuses on collecting, cleaning, and analyzing large data sets using tools like Tableau, PowerBI, SQL, and Python. The position requires collaboration with cross-functional teams to develop data collection methodologies and present findings to stakeholders. This is a 12-month contract position with a hybrid working model, open to remote work. The role emphasizes integrity and professionalism in a respectful work environment.
Key Responsibilities:
- Collect, clean, and validate large data sets from various sources
- Analyze data using statistical techniques and data visualization tools to identify trends, patterns, and correlations
- Interpret and present data findings in a clear and concise manner to stakeholders
- Collaborate with cross-functional teams to define data requirements and develop data collection methodologies
- Develop and maintain data models, databases, and dashboards for efficient data analysis and reporting
- Identify data quality issues and implement measures to ensure data accuracy and integrity
- Conduct ad-hoc data analysis and provide insights to support business objectives
- Stay up-to-date with industry trends and best practices in data analysis and reporting
- Assist in the development and implementation of data-driven strategies and initiatives
- Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment.
Key Skills:
- Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field
- Proven experience as a Data Analyst or similar role
- Strong analytical and problem-solving skills, with the ability to work with complex data sets
- Proficient in data analysis tools and programming languages, such as SQL, Python, or R
- Experience with data visualization tools, such as Tableau or Power BI
- Familiarity with statistical analysis techniques and methodologies
- Excellent attention to detail and ability to spot data inconsistencies or anomalies
- Strong communication and presentation skills, with the ability to effectively convey complex data findings to non-technical stakeholders
- Strong organizational and time management skills, with the ability to manage multiple projects and meet deadlines
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Data Analyst (Tableau, PowerBI, SQL, Python)
Montvale , NJ - Hybrid model / Open to remote job
12 Months Contract -Extension
Job Description: Responsibilities:
- Collect, clean, and validate large data sets from various sources
- Analyze data using statistical techniques and data visualization tools to identify trends, patterns, and correlations
- Interpret and present data findings in a clear and concise manner to stakeholders
- Collaborate with cross-functional teams to define data requirements and develop data collection methodologies
- Develop and maintain data models, databases, and dashboards for efficient data analysis and reporting
- Identify data quality issues and implement measures to ensure data accuracy and integrity
- Conduct ad-hoc data analysis and provide insights to support business objectives
- Stay up-to-date with industry trends and best practices in data analysis and reporting
- Assist in the development and implementation of data-driven strategies and initiatives
- Act with integrity, professionalism, and personal responsibility to uphold the firm s respectful and courteous work environment.
Qualifications:
- Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field
- Proven experience as a Data Analyst or similar role
- Strong analytical and problem-solving skills, with the ability to work with complex data sets
- Proficient in data analysis tools and programming languages, such as SQL, Python, or R
- Experience with data visualization tools, such as Tableau or Power BI
- Familiarity with statistical analysis techniques and methodologies
- Excellent attention to detail and ability to spot data inconsistencies or anomalies
- Strong communication and presentation skills, with the ability to effectively convey complex data findings to non-technical stakeholders
- Strong organizational and time management skills, with the ability to manage multiple projects and meet deadlines